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Updated: Jun 29, 2025

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

Predicting Hydrocarbon Primary Biodegradation in Soil and Sediment Systems Using System Parameterization and Machine

Craig W Davis¹, David M Brown², Chesney Swansborough²

¹ExxonMobil Biomedical Sciences, Annandale, New Jersey, USA.

Environmental Toxicology and Chemistry

|March 28, 2024

Summary

This summary is machine-generated.

The Hydrocarbon Biodegradation System Integrated Model (HC-BioSIM) was enhanced for soil and sediment, significantly improving biodegradation predictions for petroleum hydrocarbons (HCs). This new model offers greater accuracy than existing methods, aiding in environmental persistence assessments.

Keywords:

Biodegradation Hazard/risk assessment Quantitative structure–activity relationships

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Isolation, Propagation, and Identification of Bacterial Species with Hydrocarbon Metabolizing Properties from Aquatic Habitats

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Published on: December 7, 2021

Area of Science:

Environmental Chemistry
Ecotoxicology
Computational Chemistry

Background:

Biodegradation testing for complex substances like petroleum hydrocarbons (HCs) is challenging.
Existing quantitative structure-property relationship (QSPR) models for HC biodegradation have limitations in capturing environmental variability.
The Hydrocarbon Biodegradation System Integrated Model (HC-BioSIM) was previously developed for aquatic systems.

Purpose of the Study:

To expand the HC-BioSIM methodology to soil and sediment environments.
To improve the accuracy of predicting hydrocarbon biodegradation rates (DT50) in soil and sediment.
To enhance the reliability of environmental persistence categorization for hydrocarbons.

Main Methods:

Developed HC-BioSIM models for soil and sediment using a database of 2195 HC half-life entries.
Applied relevance and reliability criteria based on standard biodegradation testing guidelines.
Compared HC-BioSIM performance against existing BioHCWin and VEGA QSPR models.

Main Results:

HC-BioSIM models for soil and sediment significantly outperformed BioHCWin and VEGA.
Average errors in predicted DT50 were reduced by up to 6.3-fold for soil and 8.7-fold for sediment.
HC-BioSIM achieved high correct classification rates for persistence: 83.9% (soil) and 90.6% (sediment).

Conclusions:

The expanded HC-BioSIM provides a more accurate and reliable tool for assessing hydrocarbon biodegradation in soil and sediment.
The model demonstrates generalizability and stability for application to external datasets.
HC-BioSIM significantly improves environmental persistence categorization compared to existing models.